May 2, 2026
From algorithms to product systems
My work has crossed competitive programming, academic research, and product engineering, and the overlap matters more than the labels.
I learned early to enjoy hard problems in their distilled form: contests, algorithmic puzzles, and research questions that reward careful modeling.
Professional engineering adds another dimension. The constraints are broader, the interfaces are messier, and the best solution is often the one that remains understandable after several rounds of change.
What stayed constant for me is the habit of looking for the underlying structure first. In research that might mean kernelization, graph properties, or benchmark behavior. In product work it might mean identifying the right boundary between services, APIs, ownership, and operational cost.
Those worlds are not opposites. The research background sharpens precision. Product work forces prioritization. Competitive programming builds comfort with complexity under time pressure.
The overlap is where I feel most at home: technically demanding work that still has to serve real users and survive real maintenance.